6 of 6 Temporary Machine Learning Jobs

Learning Engineer to design, build, and productionise machine learning models for our innovative matching platform. You will work across the entire ML lifecycle, from feature engineering to deployment automation, ensuring the optimisation and explainability of inference processes. Collaborating closely with data scientists and product teams, your role … architectures. Develop fallback feature flows and implement robust data quality checks. Develop ranking, scoring, and entity-similarity models for the matching platform. Use modern ML model frameworks such as PyTorch, TensorFlow, or XGBoost. Apply SHAP or similar techniques to generate interpretable model explanations. Build and maintain training, processing, and inference ...

currently studying for a degree in relevant subject areas: Computer Science Information Systems/Information Technology Software Engineering Data Science & Analytics Artificial Intelligence & Machine Learning Cloud Computing Business Information Management We welcome applications from students who: Have strong communication and organisational skills Are proactive, eager to learn ...

responsibilities: Own full MMM project cycles - from data strategy and modelling to insights, activation, and client recommendations. Apply econometrics, regression, Bayesian methods, and machine learning to large, complex datasets. Produce dashboards, decisioning tools, and visual analytics using internal frameworks. Translate technical outputs into clear, strategic recommendations for senior ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path No previous professional experience is required to apply to this role … exam that will determine your suitability for the position and complete ID verification. Don’t worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your convenience! Equal Opportunity All qualified ...

database, and UNIX domains to assess current systems, define future-state architectures, and outline migration stages, translating requirements into actionable Python implementations Build reliable ML-driven tools and scripts in Python (using frameworks like TensorFlow, PyTorch, or scikit-learn) to optimize workload automation, predict placement needs, and handle legacy-modern … resolve issues in backup/storage workflows, leveraging Python for data analysis, scripting, and prototyping enhancements Mentor junior engineers on Python best practices, ML model deployment, and agile development in a global team setting What You Bring Proven expertise in Python programming, including building scalable REST API servers, integrating message ...

strategic bids (cloud, data, AI, automation). Translate business and outcome requirements into clear, integrated technical blueprints. Define architecture vision across AI/ML platforms, analytics, automation, integration and security. Balance innovation with cost, risk, and delivery feasibility. Bid & Pursuit Engagement Act as the technical design authority across bid cycles. … into mobilisation teams post-award, ensuring architecture continuity. Required Skills & Experience 10+ years designing large-scale digital transformation solutions. Deep knowledge of AI/ML , data platforms, analytics, automation and cloud architectures. Strong experience with AWS/Azure , APIs, microservices, integration and event-driven systems. Proven track record leading solution ...